Lead GenAI Engineer

The Fountain Group; South San Francisco (CA); Hybrid; USD 59,000 - 127,000; Full time

Job summary

The Fountain Group seeks a Lead GenAI Engineer (Senior) for a long-term contract in the Bay Area. This senior role emphasizes hands-on architecture, building a stateful GenAI application coordinating multiple agents and enterprise services.

Expect to design decisions, write production code, and deliver structured outputs for downstream platforms. Required capabilities include production GenAI experience, strong Python/TypeScript, and expertise in AWS Bedrock, RAG, memory, and observability.

Qualifications

• Significant hands-on experience architecting and building production GenAI applications.
• Strong Python or TypeScript software engineering and microservices experience.
• Experience designing stateful, multi-turn and multi-agent orchestration.
• Strong API-first architecture and structured-contract design experience.

Skills

GenAI

Python

TypeScript

Orchestration

Multi-agent

API-first

Structured outputs

AWS

Bedrock

AgentCore

Observability

Streaming

Code quality

Tools

AWS

Bedrock

AgentCore

Job description

Job Title: Lead GenAI Engineer (Senior Role)

Location: Bay Area, CA (Preferred; 1–2 days onsite per week) Open to Remote Candidates

Pay Rate: $42.74–$91.51/hour

Duration: open-ended long-term contract

Focus: Agentic Content-Application Architecture and Orchestration

The goal is to design and build a stateful, headless GenAI application that helps commercial marketers create grounded and personalized content. The application will coordinate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints that downstream platforms can assemble into finished assets. This is a hands-on senior contractor who must propose the architecture, make key technical decisions and code critical components—not a coordination-only lead.

Minimum capabilities

• Significant hands-on experience architecting and building production GenAI applications required
• Strong Python or TypeScript software engineering and microservices experience needed
• Experience designing stateful, multi-turn and multi-agent orchestration required
• Strong API-first architecture and structured-contract design experience needed
• Experience building headless services that produce structured outputs for downstream applications required
• Experience integrating GenAI applications with enterprise platforms, data services and content repositories expected
• Experience with RAG, grounding, application state, memory, evaluations and production observability
• Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling
• Experience rendering structured responses, including tables, charts, citations and reusable results
• Ability to propose architecture, establish coding patterns, make technical decisions and review other engineers' work, and produce production code
• Strong AWS, Amazon Bedrock and AgentCore experience required

Preferred Skills

• Experience with content generation, content-as-code, personalization or marketing-technology platforms
• Experience with Workfront, Veeva Vault PromoMats, AEM Assets or comparable enterprise content systems
• Experience in commercial pharma or another regulated content environment

Location: Bay Area preferred, with ability to work from the office 1–2 days per week Otherwise, must provide 4–6 hours of daily working overlap with Pacific Time